Mathematical methods of computer graphics
Course: Informatics
Structural unit: Faculty of Computer Science and Cybernetics
Title
Mathematical methods of computer graphics
Code
ДВС.1.05
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
5
Learning outcomes
LO18.1. Know and be able to apply modern software and hardware and computing tools, technologies and software solutions for effective analysis of specific production tasks for software development.
LO21.1. Know and be able to apply in practice the methods of systems analysis, methods of mathematical and information modeling to build and study models of objects and processes of informatization.
Form of study
Prerequisites and co-requisites
Basic skills: working with a computer.
Course content
The aim of the course is to master algorithms and methods that could be used to create new real-world machine graphics systems in combination with existing software.
Recommended or required reading and other learning resources/tools
1. Abrash M. Sacraments of graphics programming. - К .: ЕвроСИБ, 2002. - 512 с.
2. Anisimov AV, Tereshchenko VM, Kravchenko IV Basic algorithms of computational geometry: Textbook. manual - Kyiv: University of Kyiv, 2002. - 82 p
3. Bayakovsky Yu.M. OrenGL beginner's course. - Moscow: Planet of Knowledge, 2007. - 219 p
4. AS Vasilyuk, NI Melnikov. Computer graphics: textbook. way. for students directly prepared. 6.040303 «Systems. analysis". - Lviv: Lviv Publishing House. Polytechnic University, 2016. - 308 p.
Planned learning activities and teaching methods
Seminar, independent work
Assessment methods and criteria
Semester assessment:
1. Test 1 - 40 points / 24 points
2. Test 2 - 40 points / 24 points;
3. Report - 20 points / 12 points
Credit points are defined as the sum of grades / points for all successfully assessed learning outcomes provided by this program;
Scores below the minimum threshold are not added;
The minimum threshold for the total score for all components is 60% of the maximum possible number of points.
Language of instruction
Ukrainian language
Lecturers
This discipline is taught by the following teachers
Oleksii
M
Fedorus
Mathematical Informatics
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
Mathematical Informatics
Faculty of Computer Science and Cybernetics